Yun Lin

Natural Language Processing · with Cao · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it
• Information Systems — 11 citations into it
• Software — 5 citations into it

Whom Yun Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Phil McMinn

Papers from Yun Lin's perspective

Ordered by how strongly the researchers Yun Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. GloVe: Global Vectors for Word Representation
3. A large annotated corpus for learning natural language inference
4. WordNet: A Lexical Database for English
5. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
6. Learning Word Vectors for Sentiment Analysis
7. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
8. Prefix-Tuning: Optimizing Continuous Prompts for Generation
9. Making Smart Contracts Smarter (IACR Cryptology ePrint Archive)
10. DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)

Their papers

• A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement (2022) — 18 citations
• sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts (2020) — 391 citations